matlabwithexample

This is a note talk about Block coding Technique for reduction PAPR.

这是多个matlab源程序，主要功能是灰度图像和二值图像进行腐蚀和膨胀；dwt水印程序，猫脸变换程序。(This is a matlab source, the main function is to grayscale and binary image erosion and dilation)

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)

本算法是一种变步长的LMS算法，可以适用于智能算法等相关技术中(this algorithm is about a variable step-size LMS adaptive filter,and can be implied in samrt antenna)

国外牛人写的一个多水平集目标分割算法,文件中同时还包含了几篇国外水平集算法的文章，对于像了解水平集的人来说，有很大用处 (multi-Level set method)

Gaussian matlab extractor

具有丰富的参数选项,小波包分析提取振动信号中的特征频率，高斯白噪声的生成程序。( It has a wealth of parameter options, Wavelet packet analysis to extract vibration signal characteristic frequency, Gaussian white noise generator.)

基于matlab的DCT图像压缩算法 （压缩效果对比）(DCT-based image compression algorithm matlab )

小电流接地仿真。基于ATP建模，在matlab里调用。(small grounding system，base on ATP/EMTP ,then anylyse by matlab)

空间面板，直接和间接效应，LM检验,包括例子，代码等等。(The demo contains files to estimate all spatial econometric models based on an exact calculation of the Jacobian term in the log_likelihood function. Supporting files to print the results, to calculate (robust) LM-test statistics and to calculate direct and indirect effects are also included.)